{"id":"W2933841309","doi":"10.1088/1755-1315/240/2/022051","title":"A step forward: IEC 62097-Edition 2 - “Hydraulic Machines, Radial and Axial – Methodology for Performance Transposition from Model to Prototype”","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Scalability; Scaling; Computer science; Transposition (logic); Leakage (economics); Mechanical engineering; Engineering; Mathematics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000217612,0.0001549081,0.0002013411,0.00004554884,0.0001611245,0.00006498872,0.0001169317,0.00006608637,0.00008242895],"category_scores_gemma":[0.000005205698,0.000142149,0.00002096282,0.00005933838,0.0002490932,0.0005503792,0.00002663369,0.00007102537,0.00002716361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002445152,"about_ca_system_score_gemma":0.00001945337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001213351,"about_ca_topic_score_gemma":0.0000694421,"domain_scores_codex":[0.9990585,0.00002142159,0.0001721872,0.0002984522,0.0001734634,0.0002759901],"domain_scores_gemma":[0.9996344,0.00003659186,0.00002570127,0.000132127,0.000005744356,0.0001654792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004148545,0.00002735805,0.001733413,0.0002769298,0.00002601104,0.000001216785,0.005393048,0.02723641,0.8731305,0.001539421,0.00002771343,0.0901931],"study_design_scores_gemma":[0.000861699,0.0007760217,0.02872341,0.00007865267,0.00002174603,0.00002833764,0.0003897374,0.8993545,0.06667747,0.000494297,0.002169516,0.0004246239],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657385,0.00005376888,0.03201618,0.00007294492,0.0002180316,0.0008927285,0.0001427737,0.00003998708,0.0008250541],"genre_scores_gemma":[0.9915437,0.00008273641,0.00793698,0.0001115134,0.00005503421,0.000121765,0.00004445274,0.00001094032,0.00009295206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8721181,"threshold_uncertainty_score":0.5796666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856223729167195,"score_gpt":0.216025185004021,"score_spread":0.197462947712349,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}